Manqele, LindelweyizizweAdeogun, RDlodlo, MCoetzee, Louis2018-03-192018-03-192017-10Manqele, L. et al. 2017. Multi-objective decision-making framework for effective waste collection in smart cities. Global Wireless Summit (GWS 2017), 15-18 October 2017, Cape Town, South Africa978-1-5386-1098-5http://ieeexplore.ieee.org/document/8300475/DOI: 10.1109/GWS.2017.8300475http://hdl.handle.net/10204/10127Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file contains the accepted version of the paper. For access to the published item, please consult the publisher's website.Metropolitan cities often experience waste collection challenges due to ineffective methods of collection. This paper described criteria and an approach for efficient decision-making for waste collection that will make use of data generated by IoT-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight required for IoT based decision-making algorithms. There is a need for decision-making algorithms to be dynamic so that they can address different levels of data loss inherent in IoT data collection. This paper presents the criteria to be considered and a model for smarter decisions in the smart city as applied to waste collection.enMulti-objectivesDecision-makingInternet of ThingsWaste collectionConference PresentationManqele, L., Adeogun, R., Dlodlo, M., & Coetzee, L. (2017). Multi-objective decision-making framework for effective waste collection in smart cities. IEEE. http://hdl.handle.net/10204/10127Manqele, Lindelweyizizwe, R Adeogun, M Dlodlo, and Louis Coetzee. "Multi-objective decision-making framework for effective waste collection in smart cities." (2017): http://hdl.handle.net/10204/10127Manqele L, Adeogun R, Dlodlo M, Coetzee L, Multi-objective decision-making framework for effective waste collection in smart cities; IEEE; 2017. http://hdl.handle.net/10204/10127 .TY - Conference Presentation AU - Manqele, Lindelweyizizwe AU - Adeogun, R AU - Dlodlo, M AU - Coetzee, Louis AB - Metropolitan cities often experience waste collection challenges due to ineffective methods of collection. This paper described criteria and an approach for efficient decision-making for waste collection that will make use of data generated by IoT-enabled objects. This implies taking into account multi-objective goals in the collection process while dealing with complexities such as data loss during IoT based data collection. Understanding current decision-making algorithms highlights the deeper insight required for IoT based decision-making algorithms. There is a need for decision-making algorithms to be dynamic so that they can address different levels of data loss inherent in IoT data collection. This paper presents the criteria to be considered and a model for smarter decisions in the smart city as applied to waste collection. DA - 2017-10 DB - ResearchSpace DP - CSIR KW - Multi-objectives KW - Decision-making KW - Internet of Things KW - Waste collection LK - https://researchspace.csir.co.za PY - 2017 SM - 978-1-5386-1098-5 T1 - Multi-objective decision-making framework for effective waste collection in smart cities TI - Multi-objective decision-making framework for effective waste collection in smart cities UR - http://hdl.handle.net/10204/10127 ER -